Uploaded September 2024 | Updated September 2026, 2 hours ago
Are you a data scientist grappling with the challenges of your field? In this video, we dive deep into the top 5 hurdles that data scientists encounter daily. From dealing with messy data and communicating insights to non-technical executives to staying updated with rapidly evolving technology, these challenges are universal.
Discover practical tips and strategies to overcome these obstacles and excel in your data science career. Don't miss this insightful discussion on the realities of being a data scientist.
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👉 Subscribe to my channel: bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81
👉 Playlist for data science interview tips: bit.ly/2G5hNoJ
👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+challenges+ds+face
👉 Explore comprehensive data projects: platform.stratascratch.com/data-projects?page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+challenges+ds+face
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Timeline:
Intro: (0:00)
Challenge #1: Cleaning bad-quality data: (0:20)
Challenge #2: Providing valuable insights: (1:04)
Challenge #3: Not letting data privacy kill your workflow: (2:00)
Challenge #4: Keeping up with rapid changes: (3:10)
Challenge #5: Interdisciplinary collaboration: (3:53)
Conclusion: (4:53)
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About The Platform:
StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+challenges+ds+face) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+challenges+ds+face. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.
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Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email us at team@stratascratch.com
______________________________________________________________________
#DataScience #datacleaning #DataAnalyst #dataanalytics #datasciencecareer #datascientist
Are you a data scientist grappling with the challenges of your field? In this video, we dive deep into the top 5 hurdles that data scientists encounter daily. From dealing with messy data and communicating insights to non-technical executives to staying updated with rapidly evolving technology, these challenges are universal.
Discover practical tips and strategies to overcome these obstacles and excel in your data science career. Don't miss this insightful discussion on the realities of being a data scientist.
______________________________________________________________________
👉 Subscribe to my channel: bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: bit.ly/3jifw81
👉 Playlist for data science interview tips: bit.ly/2G5hNoJ
👉 Playlist for data science projects: bit.ly/StrataScratchProjectsYouTube
👉 Practice more real data science interview questions: platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+challenges+ds+face
👉 Explore comprehensive data projects: platform.stratascratch.com/data-projects?page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+challenges+ds+face
______________________________________________________________________
Timeline:
Intro: (0:00)
Challenge #1: Cleaning bad-quality data: (0:20)
Challenge #2: Providing valuable insights: (1:04)
Challenge #3: Not letting data privacy kill your workflow: (2:00)
Challenge #4: Keeping up with rapid changes: (3:10)
Challenge #5: Interdisciplinary collaboration: (3:53)
Conclusion: (4:53)
______________________________________________________________________
About The Platform:
StrataScratch (platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+challenges+ds+face) is a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and Python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit platform.stratascratch.com/coding?code_type=2&page_size=100&utm_source=youtube&utm_medium=click&utm_campaign=YT+challenges+ds+face. All questions are free and you can even execute SQL and Python code in the IDE. Still, if you want to check out the solutions from other users or from the StrataScratch team, you can use ss15 for a 15% discount on the premium plans.
______________________________________________________________________
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email us at team@stratascratch.com
______________________________________________________________________
#DataScience #datacleaning #DataAnalyst #dataanalytics #datasciencecareer #datascientist
![Facebooks Most Common Data Science SQL Interview Question [2021 Interview Question and Answer]](https://i.ytimg.com/vi/XRwxYOhHdE8/mqdefault.jpg "Facebooks Most Common Data Science SQL Interview Question [2021 Interview Question and Answer]
This is the most common data science interview question from Facebook. It’s the most commonly tested concept on Facebooks coding interviews, especially in the beginning rounds.
In the previous video, we talked about 5 coding concepts that companies test for in 2021 so now well actually solve the 5 questions that test your understanding of these concepts. If you havent watched that video, heres the link to the video - https://bit.ly/3ek04by
Link to the question: https://platform.stratascratch.com/coding/2005-share-of-active-users?python=&utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
👉 Subscribe to my channel: https://bit.ly/2GsFxmA
👉 Playlist for more data science interview questions and answers: https://bit.ly/3jifw81
👉 Playlist for data science interview tips: https://bit.ly/2G5hNoJ
👉 Practice more real data science interview questions: https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link
Timeline:
Intro: (0:00)
Interview Question: (0:50)
Solution Approach: (1:50)
Explore data: (2:28)
Identify the required columns: (3:40)
Visualize output: (4:14)
Code in increments: (5:14)
Conclusion: (10:16)
About The Platform:
Im using StrataScratch (https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link), a platform that allows you to practice real data science interview questions. There are over 1000+ interview questions that cover coding (SQL and python), statistics, probability, product sense, and business cases.
So, if you want more interview practice with real data science interview questions, visit https://platform.stratascratch.com/coding?utm_source=youtube&utm_medium=click&utm_campaign=YT+description+link. All questions are free and you can even execute SQL and python code in the IDE, but if you want to check out the solutions from me or from other users, you can use ss15 for a 15% discount on the premium plans.
Contact:
If you have any questions, comments, or feedback, please leave them here!
Feel free to also email me at nathan@stratascratch.com
#SQL #DataScienceInterview")
